cs.washington.edu
Arvind Krishnamurthy is the Short-Dooley Professor in the Paul G. Allen School of Computer Science & Engineering. His research interests are in building effective and robust computer systems in the context of both data centers and Internet-scale systems. More recently, his research has focussed on programmable networks and systems for machine learning.
Recent research:
- Programmable networks (e.g., iPipe, IncBricks, FlexNIC, FlexSwitch, Approx. Fair Queueing, Gimbal)
- High-performance networking (e.g., CC-NIC, HCC,TAS)
- Distributed systems for the datacenter (e.g., Xenic, Meerkat, SpecPaxos, Tapir)
- Systems for machine learning (e.g., TVM, Nexus, SwitchML, TVM Optimizer, Networks for ML, Punica).
